Results 81 to 90 of about 3,276 (256)

User privacy prevention model using supervised federated learning‐based block chain approach for internet of Medical Things

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract This research focuses on addressing the privacy issues in healthcare advancement monitoring with the rapid establishment of the decentralised communication system in the Internet of Medical Things (IoMT). An integrated blockchain homomorphic encryption standard with an in‐build supervised learning‐based smart contract is designed to improvise ...
Chandramohan Dhasarathan, Mohammad Kamrul Hasan, Shayla Islam, Salwani Abdullah, Shailesh Khapre, Dalbir Singh, Abdulaziz A. Alsulami, Ali Alqahtani   +7 more
wiley   +1 more source

Synonym‐based multi‐keyword ranked search with secure k‐NN in 6G network

IET Networks, EarlyView., 2022
Abstract Sixth Generation (6G) integrates the next generation communication systems such as maritime, terrestrial, and aerial to offer robust network and massive device connectivity with ultra‐low latency requirement. The cutting edge technologies such as artificial intelligence, quantum machine learning, and millimetre enable hyper‐connectivity to ...
Deebak Bakkiam David, Fadi Al‐Turjman
wiley   +1 more source

Computation offloading to edge cloud and dynamically resource-sharing collaborators in Internet of Things

EURASIP Journal on Wireless Communications and Networking, 2020
With the diversity of the communication technology and the heterogeneity of the computation resources at network edge, both the edge cloud and peer devices (collaborators) can be scavenged to provide computation resources for the resource-limited ...
Siqi Mu, Zhangdui Zhong
doaj   +1 more source

The method of intelligent wireless sensor to improve the water permeability of permeable asphalt concrete pavement

IET Networks, EarlyView., 2022
Abstract This research aims to study the intelligent wireless sensor to improve the water permeability of permeable asphalt concrete pavement. The water permeability of pavement is extremely important for the traffic environment. This study first briefly introduces the background and significance analysis, and then exemplifies the deployment algorithm ...
Xingmei Zhang, Cong Xu, Qi Lei
wiley   +1 more source

Distributed wireless network resource optimisation method based on mobile edge computing

IET Networks, EarlyView., 2022
This paper mainly compares the network ranking leader, consumption amount and network signal reception of the three algorithms. The study found that in terms of network sort captain, there are significant differences between the CPLEX algorithm, the CCST algorithm, and edge computing methods. The CCST algorithm and edge computing have little difference
Jiongting Jiang, Chao Quan, Kai Qian, Jiefeng Pan, Yueping Yang   +4 more
wiley   +1 more source

Computation Offloading and Resource Allocation for E2E Tasks in Satellite Edge Computing Networks

Space: Science & Technology
Satellite edge computing shows promise in delivering seamless, low-latency services in challenging contexts such as deserts, oceans, and during natural disasters.
Yunbo Qu, Tingting Zhang, Yuan Feng, Tongyang Xu, Zijian Guo   +4 more
doaj   +1 more source

Distributed Task Offloading Game in Multiserver Mobile Edge Computing Networks

Complexity, 2020
With the explosion of data traffic, mobile edge computing (MEC) has emerged to solve the problem of high time delay and energy consumption. In order to cope with a large number of computing tasks, the deployment of edge servers is increasingly intensive.
Shuang Chen, Ying Chen, Xin Chen, Yuemei Hu   +3 more
doaj   +1 more source

The Use of Unloader Bracing in the Management of Knee Osteoarthritis: A Modified Delphi Consensus Study

Arthroscopy, EarlyView.
Purpose To develop international expert consensus on the role of unloader bracing in the management of tibiofemoral osteoarthritis (OA) by addressing indications, contraindications, clinical evaluation, perioperative applications, and research priorities using a modified Delphi methodology.
Jonathan T. Super, Luke V. Tollefson, Iain R. Murray, Jorge Chahla, Andrew G. Geeslin, Darren L. Johnson, Ciara M. Stevenson, Robert F. LaPrade, Reykjavik Bracing Consensus Study Group, Robert F. LaPrade, Scott Anderson, Adam W. Anz, Sascha Beck, Andrew S. Bernhardson, Jorge Chahla, Anikar Chhabra, Mark E. Cinque, William M. Cregar, Pieter J. Emans, Scott C. Faucett, Andrew G. Geeslin, Darren L. Johnson, Tobias M. Jung, Patrick W. Kane, Nicholas I. Kennedy, Vickas Khanna, Cory A. Kwong, Christopher M. LaPrade, Martin Lind, Parth Lodhia, Gilbert Moatshe, Iain R. Murray, Johnathan Riboh, Anders Stalman, Ciara M. Stevenson, Wybren A. Van Der Wal, David Wasserstein, Daniel B. Whelan   +37 more
wiley   +1 more source

Joint power control and user grouping mechanism for efficient uplink non‐orthogonal multiple access‐based 5G communication: Utilising the Lèvy‐flight firefly algorithm

IET Networks, EarlyView., 2023
We utilise a metaheuristic optimisation method, inspired by nature, called the Lévy‐flight firefly algorithm (LFA), to tackle the power regulation and user grouping in the NOMA systems. Abstract The non‐orthogonal multiple access strategies have shown promise to boost fifth generation and sixth generation wireless networks' spectral efficiency and ...
Zaid Albataineh, Khaled F. Hayajneh, Haythem Bany Salameh, Raed Al Athamneh, Yaser Jararweh   +4 more
wiley   +1 more source

Intelligent End-Edge Computation Offloading Based on Lyapunov-Guided Deep Reinforcement Learning

Applied Sciences
To address the end-edge computation offloading challenge in the multi-terminal and multi-server environment, this paper proposes an intelligent computation offloading algorithm based on Lyapunov optimization and deep reinforcement learning.
Xue Feng, Chi Xu, Xi Jin, Changqing Xia, Jing Jiang   +4 more
doaj   +1 more source